Income Growth of Peasants Based on Grey Theory

Taking Jiangsu Province for example and using the relevant data in Jiangsu Statistical Yearbook and Statistical Communique of Jiangsu Province on National Economic and Social Development during 2002-2009, the thesis selects eight indexes including per capita net income of farmers, the fixed asset investment level in rural areas, average educational level, agricultural scientific and technological level, urbanization level, industrialization level, average consumption level per rural residents and per capita GDP and adopts the theory of grey correlation to analyze the factors influencing the peasants’ net income. As shown in the result, the effect on the peasants’ net income gives the following subsequence from great to little: average consumption level per capita of rural residents, urbanization level, average educational level, industrialization level, per capita GDP, number of scientific and technical personnel and fixed asset investment level in rural areas, that is, ＞ ＞ ＞ ＞ ＞ ＞ . Then combining with the practical conditions, the thesis makes a detailed analysis of each factor influencing the peasant’s income growth and proposes corresponding measures in order to improve the peasants’ income.